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Devcoach

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

Progressive in-context technical coaching in your AI agent β€” one local, free lesson per task.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "devcoach": {
      "command": "npx",
      "args": [
        "-y",
        "devcoach"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

devcoach

devcoach β€” progressive technical coaching, right inside your AI agent

npm CI Quality Gate Coverage Node Docs License

Stay sharp while your AI does the work.

devcoach connects to Claude Code, Claude Desktop, Gemini CLI (beta), Codex CLI (beta), Cursor, Windsurf, and other MCP-compatible tools. After every task you complete, it delivers a short targeted lesson calibrated to what you already know β€” no generic tutorials, no repeated topics, nothing to open.

Everything runs locally. No data leaves your machine. One SQLite file at ~/.devcoach/coaching.db.

Built on the official Model Context Protocol TypeScript SDK, Node's embedded node:sqlite, Hono (web dashboard), and Commander (CLI). Requires Node.js β‰₯ 24.


Why devcoach?

AI agents now write much of our code β€” which makes it easy to ship more while understanding less. devcoach turns each task your agent finishes into one short, in-context lesson, so you keep learning as you go. The deeper bet: as AI grows more capable, the scarce skill becomes validating what it produces β€” and that ability only survives if you keep practicing it.

β†’ Why devcoach exists


How it works

mermaid
flowchart TD
    A([Task completed]) --> B{"stop-hook:<br/>paced + rate limit ok?"}
    B -->|not yet| Z(["Silent β€” counter +1"])
    B -->|due| C["Cue: activate the devcoach skill"]

    subgraph skill["devcoach skill"]
        C --> D{"Technical work?"}
        D -->|no| S[skip_lesson]
        D -->|yes| E[Select topic & depth]
        E --> G[log_lesson]
        G --> F[Print lesson card]
    end

    S --> Y(["Silent β€” pacing re-armed"])
    F --> H(["Done β€” counter reset"])
    F -.->|prompts| U(["You: βœ… / ❌"])

β†’ Full decision flow: session startup Β· lesson selection Β· depth calibration


Privacy by design

Everything stays on your machine. No telemetry, no accounts, no calls home. Just one SQLite file.

β†’ Privacy & security


Installation

devcoach runs locally β€” a stdio MCP server that stores everything in ~/.devcoach/coaching.db on the machine where your agent runs. It works in Claude Code, Claude Desktop, Gemini CLI (beta), and Codex CLI (beta), but not on claude.ai web (which only supports hosted/remote connectors).

Requires Node.js β‰₯ 24 (devcoach uses the embedded node:sqlite module, available only from Node 24 onward).

Pick by how you like to work β€” each section is self-contained (install and connect):

  • Developer, comfortable in a terminal β†’ Homebrew β€” one brew install, and you get the devcoach CLI too.
  • Prefer a one-click, no-terminal setup β†’ the Claude Code plugin or the .mcpb extension.
  • Registry-aware MCP client? devcoach is listed in the official MCP Registry as io.github.UltimaPhoenix/devcoach β€” install it straight from there.
  • Anything else (npx, manual config, other agents, claude.ai web) is under Other install methods.

Homebrew (recommended for developers)

macOS / Linux. Add and trust the tap once, install, then connect β€” you also get the devcoach CLI (so devcoach ui and the CLI work without an npx prefix):

bash
# 1. Add the tap β€” registers github.com/UltimaPhoenix/homebrew-tap with Homebrew
brew tap UltimaPhoenix/tap

# 2. Trust the whole tap β€” required when Homebrew enforces HOMEBREW_REQUIRE_TAP_TRUST
brew trust --tap UltimaPhoenix/tap

# 3. Install
brew install devcoach

# 4. Connect (Homebrew puts `devcoach` on your PATH β€” no `npx -y` prefix needed)
devcoach install

brew tap registers the third-party repository; brew trust --tap marks it trusted so Homebrew will load its formulae when HOMEBREW_REQUIRE_TAP_TRUST is set. Both are one-time. To update later: brew upgrade devcoach. One-liner: brew install UltimaPhoenix/tap/devcoach (run brew trust --tap UltimaPhoenix/tap first if your Homebrew enforces tap trust). The formula declares depends_on "node", so Homebrew pulls in a recent Node automatically.

Claude Code plugin (recommended for Claude Code) β€” Beta

The simplest way to add devcoach to Claude Code β€” one click, nothing to configure. It bundles everything (MCP server + automatic-coaching Stop hooks + skill), so don't also run devcoach install (or the Stop hooks get registered twice).

bash
# Add the marketplace once, then install (you can install any UltimaPhoenix plugin from it later)
/plugin marketplace add UltimaPhoenix/claude-plugins-marketplace
/plugin install devcoach@ultimaphoenix

The MCP server, hooks, and skill activate on install β€” no restart needed. Open the web dashboard right from Claude Code with /devcoach:ui (or just ask β€” the open_ui tool). The plugin does not add the devcoach CLI, so for terminal use run npx -y devcoach ui (or use Homebrew / npm i -g devcoach for a bare devcoach).

Other ways to install the plugin (straight from the repo Β· offline zip)
bash
# Straight from the devcoach repo (no separate marketplace)
/plugin marketplace add UltimaPhoenix/dev-coach
/plugin install devcoach@devcoach

# Offline β€” download devcoach-plugin-<version>.zip from a GitHub Release, unzip, then:
/plugin marketplace add /path/to/unzipped-folder
/plugin install devcoach@devcoach

See Claude Code plugin for how it works.

Claude Desktop extension (.mcpb) (recommended for Claude Desktop) β€” Beta

A single bundle that runs on Claude Desktop's built-in runtime β€” no Node or terminal needed. Every GitHub Release ships one:

  1. Download devcoach-<version>.mcpb from the latest release
  2. Claude Desktop β†’ Settings β†’ Extensions β†’ Install Extension… β†’ pick the .mcpb

The bundle is self-signed, so Claude Desktop installs it as an unverified publisher (a real code-signing cert would be needed for a verified signature). Prefer to build it from source?

Terminal
npm run mcpb        # β†’ dist-mcpb/devcoach-<version>.mcpb   (npm run mcpb:sign self-signs it)

Other install methods β€” Beta

npx / npm CLI (any MCP agent β€” no install)

No install required β€” npx runs devcoach on demand. For Claude Code and Claude Desktop, one command registers the MCP server, wires up automatic lesson delivery (Stop hooks), and installs the coaching skill into ~/.claude/skills/devcoach/:

Terminal
npx -y devcoach install

Restart your agent afterward. Prefer a global binary? npm install -g devcoach, then run devcoach install (and drop the npx -y prefix everywhere). After upgrading devcoach, re-run devcoach install to refresh the skill β€” devcoach stats reminds you when it's out of date.

Manual MCP config for Claude Code (if devcoach install isn't available)

Option A β€” via the claude mcp CLI (recommended):

Terminal
claude mcp add devcoach npx -- -y devcoach mcp

# all projects (user scope)
claude mcp add --scope user devcoach npx -- -y devcoach mcp

Option B β€” edit ~/.claude.json directly:

config.json
{ "mcpServers": { "devcoach": { "type": "stdio", "command": "npx", "args": ["-y", "devcoach", "mcp"] } } }

Then add the hooks to ~/.claude/settings.json for automatic lesson delivery β€” stop-hook decides after each turn whether a lesson is due, prompt-hook primes the model up front when one is:

config.json
{
  "hooks": {
    "Stop": [
      { "hooks": [{ "type": "command", "command": "npx -y devcoach stop-hook", "timeout": 60 }] }
    ],
    "UserPromptSubmit": [
      { "hooks": [{ "type": "command", "command": "npx -y devcoach prompt-hook", "timeout": 30 }] }
    ]
  }
}

Tip: a global install puts devcoach on your PATH, so you can drop the npx -y prefix. devcoach install detects this automatically. Using the Claude Code plugin (above)? Skip the hooks here β€” the plugin already provides them.

Gemini CLI β€” full coaching loop (hooks + skill) β€” Beta

One command registers the MCP server, the AfterAgent/BeforeAgent lesson hooks, and the coaching skill:

Terminal
npx -y devcoach install --gemini

Read the full README β†’View source on GitHub β†’

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Reviews

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Frequently Asked Questions about Devcoach

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "devcoach": { "command": "npx", "args": ["-y", "devcoach"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
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Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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AllMCPs Server

The official MCP server for AllMCPs.com - submit and manage tools directly from your AI. The open directory for MCP servers. Connect Claude, Cursor, Windsurf, and AI agents to databases, tools, files, and APIs. Explore 10,000+ servers. AllMCPs is the premier, open directory for discovering, evaluating, and installing Model Context Protocol (MCP) servers to equip AI agents and LLMs with real-world superpowers.

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